Responsible Research and Innovation: Using the Requirements Tool for Stakeholder Engagement in Developing a Universal Design for Learning Guidelines for Practice

open access articleResponsible research and innovation (RRI) is growing in importance, and alongside this growth is an acknowledgement that for research and innovation projects to be successful, stakeholders must be involved from the outset. When developing guidelines for practice, stakeholders will often be presented with a document to ratify rather than one to develop or revise. This gap in stakeholder engagement has been recognised and addressed by the development of the requirements tool. This tool was originally created to provide a systematic approach to the development of guidelines for the governance of RRI, but it was quickly recognised that the tool can bridge the gap and involve stakeholders from the outset, thereby increasing the likelihood of buy-in. This paper presents the second validated use of the tool that was used to inform the revision of guidelines for the introduction of a universal design for learning (UDL) at a UK University. The resulting revised guidelines for practice and their adoption by those tasked with producing them provide further evidence of the value and flexibility of the tool and its potential for its continued use in the future development or revision of guidelines

A Stochastic Conjugate Gradient Method for Approximation of Functions

A stochastic conjugate gradient method for approximation of a function is proposed. The proposed method avoids computing and storing the covariance matrix in the normal equations for the least squares solution. In addition, the method performs the conjugate gradient steps by using an inner product that is based stochastic sampling. Theoretical analysis shows that the method is convergent in probability. The method has applications in such fields as predistortion for the linearization of power amplifiers.Comment: 21 pages, 5 figure